Applied Multivariate Analysis (BMDS 240)

3 credits · Graduate

Introduction to the statistical analysis of several quantitative measurements on each observational unit. Emphasis is on concepts, computer-intensive methods. Examples from economics, education, geology, psychology. Topics: multiple regression, multivariate analysis of variance, principal components, factor analysis, canonical correlations, multidimensional scaling, clustering. Prerequisites: STATS 116/118, STATS 191/203, MATH104 (recommended). See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.